如何使用gensim查看和解释lda模型的输出

Question

I am able to create the lda model and save it. Now I am trying load the model, and pass a new document

lda = LdaModel.load('..\\\\models\\\\lda_v0.1.model') doc_lda = lda[new_doc_term_matrix] print(doc_lda )

On printing the doc_lda I am getting the object. <gensim.interfaces.TransformedCorpus object at 0x000000F82E4BB630> However I want to get the topic words associated with it. What is the method I have to use. I was referring to this .

Answer 1

Not sure if this is still relevant, but have you tried get_document_topics() ? Though I assume that would only work if you've updated your LDA model using update() .

I don't think there is anything wrong with your code - the "Usage example" from the documentation link you posted uses doc2bow which returns a sparse vector - I don't know what new_doc_term_matrix consists of, but I'll assume it worked fine.

You might want to look at this stackoverflow question : you want to print an "object" - that isn't printable, the data you want is somewhere in the object, and that in itself is printable.

Alternatively, you can also use your IDE's capabilities - the Variable explorer in Spyder, for example - to click yourself into the objects and get the info you need.

For more info on similarity analysis with gensim, see this tutorial .

Answer 2

使用这个doc_lda.print_topics(-1)